Natural Logic Inference for Emotion Detection

Current research on emotion detection focuses on the recognizing explicit emotion expressions in text. In this paper, we propose an approach based on textual inference to detect implicit emotion expressions, that is, to capture emotion detection as an logical inference issue. The approach builds a natural logic system, in which emotional detection are decomposed into a series of logical inference process. The system also employ inference knowledge from textural inference resources for reasoning complex expressions in emotional texts. Experimental results show the efficiency in detecting implicit emotional expressions.

[1]  Ion Androutsopoulos,et al.  A Survey of Paraphrasing and Textual Entailment Methods , 2009, J. Artif. Intell. Res..

[2]  Cícero Nogueira dos Santos,et al.  Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts , 2014, COLING.

[3]  Shashidhar G. Koolagudi,et al.  Robust Emotion Recognition using Spectral and Prosodic Features , 2013, Springer Briefs in Electrical and Computer Engineering.

[4]  J. Benthem Essays in Logical Semantics , 1986 .

[5]  Dipankar Das,et al.  Emotion Analysis on Social Media: Natural Language Processing Approaches and Applications , 2014 .

[6]  Victor Manual Sánchez Valencia,et al.  Studies on natural logic and categorial grammar , 1991 .

[7]  Christopher D. Manning,et al.  Natural Logic for Textual Inference , 2007, ACL-PASCAL@ACL.

[8]  Zhiyong Luo,et al.  Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts , 2016, COLING.

[9]  Christopher D. Manning,et al.  An extended model of natural logic , 2009, IWCS.

[10]  Sabine Bergler,et al.  Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses , 2006, EACL.

[11]  Christopher D. Manning,et al.  NaturalLI: Natural Logic Inference for Common Sense Reasoning , 2014, EMNLP.

[12]  Dipankar Das,et al.  Developing Japanese WordNet Affect for Analyzing Emotions , 2011, WASSA@ACL.

[13]  Kam-Fai Wong,et al.  Cross lingual opinion holder extraction based on multi-kernel SVMs and transfer learning , 2013, World Wide Web.

[14]  Xiaolong Wang,et al.  Coarse-to-fine sentence-level emotion classification based on the intra-sentence features and sentential context , 2012, CIKM.

[15]  Emiliano Lorini,et al.  Computational Modeling of Emotion: Toward Improving the Inter- and Intradisciplinary Exchange , 2013, IEEE Transactions on Affective Computing.

[16]  Li Zhao,et al.  Attention-based LSTM for Aspect-level Sentiment Classification , 2016, EMNLP.

[17]  Kam-Fai Wong,et al.  Coarse-Fine Opinion Mining - WIA in NTCIR-7 MOAT Task , 2008, NTCIR.